pymnet: A Multilayer-Networks Library for Python Multilayer networks The library is based on the general definition of multilayer networks presented in a review article. Multilayer networks can be used to represent various types network generalizations found in the literature. For example, multiplex netw...
For example, when we have a multiplex network with categorical couplings that are all of equal weight, the number of inter-layer edges grows as \(\mathcal{O}(nl^2)\). In the multiplex-network data structure in this library, we only always store the intra-layer networks separately. We ...
The presented Py3plex Python-based library facilitates the exploration and visualization of multilayer networks. The library includes a diagonal projection-based network visualization, developed specifically for large networks with multiple node (and edge) types. The library also includes state-of-the-...
The presented Py3plex Python-based library facilitates the exploration and visualization of multilayer networks. The library includes a diagonal projection-based network visualization, developed specifically for large networks with multiple node (and edge) types. The library also includes state-of-the-...
mgrid is a pure Python package to model power grids as multilayer networks. All the electric devices at one voltage level compose one layer. A directed bipartite for a pair of adjacent layers represents transformers connecting two voltage levels. Moreover, mgrid provides an interface for power sys...
Recently, network studies provided new approaches for the analysis of spatial2, temporal3and multilayer networks4,5. Public transport networks represent a paradigmatical example of all these three categories (seeFig. 1for a visualization obtained with the tool6), and we can gain a new understandin...
All algorithmic development steps were performed on PyTorch, an open source Python-based machine learning library. Figure 2 Artificial neural network architecture. The input layer consists of 16 nodes. The first, second, and third hidden layers respectively consists of 30, 60, and 30 nodes. The ...
The perceptron algorithm is the simplest artificial neural network type. It is a single-neuron model which can be used for two-class classification problems. It also provides the basis for the further development of considerably larger networks. ...
Also used the same network to analyse a more challenging face dataset and compared the performance of the neural network against a deep neural network using the TensorFlow library. Python, Numpy, Scipy, TensorFlowAbout Implemented a Multilayer Perceptron Neural Network and evaluated its performance in...
(1) tabular information of the constructed multilayer network, containing gene pairs connecting each upstream layer and downstream layer (i.e., Ligand_Receptor, Receptor_TF and TF_Gene subnetworks); (2) visualization of the constructed multilayer network using the pymnet library. ...